Senior Deep Learning Performance Architect - LPU
Nvidia · Remote (United States)
About this role
Nvidia is hiring a senior-level Machine Learning Engineer as a remote position. The posting calls out experience with CUDA, C, LLMs, Deep Learning.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Remote (United States)
- Work mode
- Remote
- Posted
- May 18, 2026
More roles at Nvidia
Job description
from Nvidia careersWe are now looking for a Senior Deep Learning Performance Architect!
NVIDIA seeks a Senior DL Performance Architect to join our group of pioneers who enjoy pushing AI Inference performance boundaries. Our team focuses on ambitious hardware-software co-design to speed AI Inference workloads. This role gives an outstanding opportunity to develop world-class performance strategies, guide future GPU architecture decisions, and lead AI innovation. If you are passionate about AI efficiency Pareto curves, have a proven record of modeling LLM performance and architecting AI systems, and enjoy optimizing every cycle, this role may be perfect for you!
What you'll be doing:
Design novel GPU and system architectures to advance the forefront of AI Inference performance and efficiency
Construct, investigate, and test popular deep learning algorithms and applications
Understand and analyze the relationship between hardware and software architectures as it influences future algorithms and applications
Build efficient power and performance models of AI inference stack, while capturing minimal but significant information to guide next-gen HW architecture
Collaborate across the company to guide the direction of AI, working with software, research, and product teams
What we need to see:
A MS or PhD in a relevant field (CS, EE, Math) or equivalent experience, with 5+ years of relevant experience
This is an excerpt. Read the full job description on Nvidia careers →